photometry-tools

A collection of methods and tools for experimental photometry data

Note about the preferred formats

A good practice is to keep the raw photometry data in a dataframe with columns:

• times
• raw_isosbestic
• raw_calcium
• (optional) calcium

The preferred interchange format is the parquet format (.pqt), which is a binary format that is fast to read and write, compressed and keeps typing information. You can easily convert a dataframe to parquet pd.to_parquet('my_file.pqt') and read it back pd.read_parquet('my_file.pqt').

cf. example here